Comparison
PHUDGE vs LlamaFactory
Verdict
Pick PHUDGE when pHUDGE is primarily Jupyter Notebook; LlamaFactory is Python; pick LlamaFactory when llamaFactory is primarily Python; PHUDGE is Jupyter Notebook.
Markdown twin · PHUDGE alternatives · LlamaFactory alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | PHUDGE | LlamaFactory |
|---|---|---|
| Maintenance | Dormant (734d since push) As of today · github_public_v1 | Very active (0d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of today · osv@v1 | No lockfile (source not queried) As of 4d · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- PHUDGE
- Official repo for the paper PHUDGE: Phi-3 as Scalable Judge. Evaluate your LLMs with or without custom rubric, reference answer, absolute, relative and much more. It contains a list of all the availab
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
Stars
- PHUDGE
- 53
- LlamaFactory
- 73k
Forks
- PHUDGE
- 7
- LlamaFactory
- 8.9k
Open issues
- PHUDGE
- 1
- LlamaFactory
- 1.1k
Language
- PHUDGE
- Jupyter Notebook
- LlamaFactory
- Python
Adopt for
- PHUDGE
- -
- LlamaFactory
- LlamaFactory is a sophisticated tool for fine-tuning numerous large language models and visual language models efficiently using various methods such as LoRA, QLoRA, RLHF, and quantization.
Persona
- PHUDGE
- -
- LlamaFactory
- -
Runtime
- PHUDGE
- -
- LlamaFactory
- -
License
- PHUDGE
- -
- LlamaFactory
- Apache-2.0
Last pushed
- PHUDGE
- Jul 10, 2024
- LlamaFactory
- Jul 10, 2026
Categories
- PHUDGE
- Inference & Serving, LLM Frameworks, Model Training
- LlamaFactory
- LLM Frameworks, Model Training
Trust and health
Maintenance
- PHUDGE
- Dormant (18%)
- LlamaFactory
- Very active (96%)
Days since push
- PHUDGE
- 734d
- LlamaFactory
- 0d
Open issues (now)
- PHUDGE
- 1
- LlamaFactory
- 1.1k
Full report
- PHUDGE
- Trust report
- LlamaFactory
- Trust report
Choose PHUDGE if…
- PHUDGE is primarily Jupyter Notebook; LlamaFactory is Python.
- Tags unique to PHUDGE: custom-dataset, evaluation, feedback-collection, finetuning.
- Also covers Inference & Serving.
When NOT to use PHUDGE
- Last GitHub push was 734 days ago (dormant maintenance, Jul 10, 2024). Validate activity before betting a new project on PHUDGE.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose LlamaFactory if…
- LlamaFactory is primarily Python; PHUDGE is Jupyter Notebook.
- Tags unique to LlamaFactory: agent, deepseek, fine-tuning, gemma.
- When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
When NOT to use LlamaFactory
- When you are looking to fine-tune less popular or niche models that are not supported within the 100+ models covered by LlamaFactory.
- If your project specifically requires custom fine-tuning methods not available in this repository, such as certain versions of PEFT (Parameter Efficient Fine-Tuning) techniques excluding LoRA and QLoa
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (deshwalmahesh/PHUDGE) · observed Jul 15, 2026
- GitHub forks (deshwalmahesh/PHUDGE) · observed Jul 15, 2026
- Last push (deshwalmahesh/PHUDGE) · observed Jul 10, 2024
- License file (unknown) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (hiyouga/LlamaFactory) · observed Jul 11, 2026
- GitHub forks (hiyouga/LlamaFactory) · observed Jul 11, 2026
- Last push (hiyouga/LlamaFactory) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: PHUDGE 53 · LlamaFactory 73k (synced Jul 15, 2026).
Common questions
- What is the difference between PHUDGE and LlamaFactory?
- PHUDGE: Official repo for the paper PHUDGE: Phi-3 as Scalable Judge. Evaluate your LLMs with or without custom rubric, reference answer, absolute, relative and much more. It contains a list of all the availab. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose PHUDGE over LlamaFactory?
- Choose PHUDGE over LlamaFactory when PHUDGE is primarily Jupyter Notebook; LlamaFactory is Python; Tags unique to PHUDGE: custom-dataset, evaluation, feedback-collection, finetuning; Also covers Inference & Serving.
- When should I choose LlamaFactory over PHUDGE?
- Choose LlamaFactory over PHUDGE when LlamaFactory is primarily Python; PHUDGE is Jupyter Notebook; Tags unique to LlamaFactory: agent, deepseek, fine-tuning, gemma; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
- When should I avoid PHUDGE?
- Last GitHub push was 734 days ago (dormant maintenance, Jul 10, 2024). Validate activity before betting a new project on PHUDGE. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- When should I avoid LlamaFactory?
- When you are looking to fine-tune less popular or niche models that are not supported within the 100+ models covered by LlamaFactory. If your project specifically requires custom fine-tuning methods not available in this repository, such as certain versions of PEFT (Parameter Efficient Fine-Tuning) techniques excluding LoRA and QLoa
- Is PHUDGE or LlamaFactory more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 53). Stars measure visibility, not whether either tool fits your constraints.
- Are PHUDGE and LlamaFactory open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to PHUDGE or LlamaFactory?
- GraphCanon lists graph-backed alternatives at PHUDGE alternatives and LlamaFactory alternatives (PHUDGE markdown twin, LlamaFactory markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, PHUDGE or LlamaFactory?
- PHUDGE: Dormant. LlamaFactory: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for PHUDGE and LlamaFactory?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: PHUDGE trust report; LlamaFactory trust report.